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Reference Guide
RooGaussian.h
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1 /*****************************************************************************
2  * Project: RooFit *
3  * Package: RooFitModels *
4  * File: $Id: RooGaussian.h,v 1.16 2007/07/12 20:30:49 wouter Exp $
5  * Authors: *
6  * WV, Wouter Verkerke, UC Santa Barbara, verkerke@slac.stanford.edu *
7  * DK, David Kirkby, UC Irvine, dkirkby@uci.edu *
8  * *
9  * Copyright (c) 2000-2005, Regents of the University of California *
10  * and Stanford University. All rights reserved. *
11  * *
12  * Redistribution and use in source and binary forms, *
13  * with or without modification, are permitted according to the terms *
14  * listed in LICENSE (http://roofit.sourceforge.net/license.txt) *
15  *****************************************************************************/
16 #ifndef ROO_GAUSSIAN
17 #define ROO_GAUSSIAN
18 
19 #include "RooAbsPdf.h"
20 #include "RooRealProxy.h"
21 #include "RooTrace.h"
22 
23 class RooRealVar;
24 
25 class RooGaussian : public RooAbsPdf {
26 public:
27  RooGaussian() { } ;
28  RooGaussian(const char *name, const char *title,
29  RooAbsReal& _x, RooAbsReal& _mean, RooAbsReal& _sigma);
30  RooGaussian(const RooGaussian& other, const char* name=0) ;
31  virtual TObject* clone(const char* newname) const { return new RooGaussian(*this,newname); }
32  inline virtual ~RooGaussian() { }
33 
34  Int_t getAnalyticalIntegral(RooArgSet& allVars, RooArgSet& analVars, const char* rangeName=0) const ;
35  Double_t analyticalIntegral(Int_t code, const char* rangeName=0) const ;
36 
37  Int_t getGenerator(const RooArgSet& directVars, RooArgSet &generateVars, Bool_t staticInitOK=kTRUE) const;
38  void generateEvent(Int_t code);
39 
40  Double_t getLogVal(const RooArgSet* set) const ;
41 
42 protected:
43 
47 
48  Double_t evaluate() const ;
49 
50 private:
51 
52  ClassDef(RooGaussian,1) // Gaussian PDF
53 };
54 
55 #endif
RooRealProxy x
Definition: RooGaussian.h:44
Double_t evaluate() const
Definition: RooGaussian.cxx:61
Int_t getGenerator(const RooArgSet &directVars, RooArgSet &generateVars, Bool_t staticInitOK=kTRUE) const
Load generatedVars with the subset of directVars that we can generate events for, and return a code t...
int Int_t
Definition: RtypesCore.h:41
bool Bool_t
Definition: RtypesCore.h:59
virtual TObject * clone(const char *newname) const
Definition: RooGaussian.h:31
#define ClassDef(name, id)
Definition: Rtypes.h:320
Plain Gaussian p.d.f.
Definition: RooGaussian.h:25
Double_t getLogVal(const RooArgSet *set) const
calculate and return the negative log-likelihood of the Poisson
Definition: RooGaussian.cxx:75
RooRealProxy sigma
Definition: RooGaussian.h:46
RooRealVar represents a fundamental (non-derived) real valued object.
Definition: RooRealVar.h:36
double Double_t
Definition: RtypesCore.h:55
RooRealProxy mean
Definition: RooGaussian.h:45
RooAbsReal is the common abstract base class for objects that represent a real value and implements f...
Definition: RooAbsReal.h:53
Mother of all ROOT objects.
Definition: TObject.h:37
Int_t getAnalyticalIntegral(RooArgSet &allVars, RooArgSet &analVars, const char *rangeName=0) const
Interface function getAnalyticalIntergral advertises the analytical integrals that are supported...
Definition: RooGaussian.cxx:94
virtual ~RooGaussian()
Definition: RooGaussian.h:32
RooAbsPdf is the abstract interface for all probability density functions The class provides hybrid a...
Definition: RooAbsPdf.h:41
RooRealProxy is the concrete proxy for RooAbsReal objects A RooRealProxy is the general mechanism to ...
Definition: RooRealProxy.h:23
Double_t analyticalIntegral(Int_t code, const char *rangeName=0) const
Implements the actual analytical integral(s) advertised by getAnalyticalIntegral. ...
void generateEvent(Int_t code)
Interface for generation of anan event using the algorithm corresponding to the specified code...
const Bool_t kTRUE
Definition: RtypesCore.h:87
char name[80]
Definition: TGX11.cxx:109